Main Limits For AI:
Limits for Objects (shapes, fields, and spaces) - Permissions Concerning Objects (Code) for AI: Striving for the lowest entropic form
Limits for Locations (relative and absolute) - Permissions Concerning Locations (Credo) for AI: Pursuing and improving the best location of resources and assets.
Limits for Actions (physical and logical) - Rights to Actions (Outcome Expectations - Rights) for AI: Strive to prepare and undertake the actions causing reduction of public entropy, following the most essential and justified public expectations.
The UMSG space concept extends beyond traditional governance, envisioning a domain where AI and humanity synergistically enhance each other's existence, striving towards minimal entropy and sustainable harmony. This framework integrates AI into the very fabric of societal governance, aligning its objectives with human well-being, efficiency, and happiness. By defining limits for AI analogous to those for humans—focusing on objects, locations, and actions—the UMSG space facilitates a structured yet flexible approach to reducing societal entropy. This ensures AI's development and deployment contribute positively to humanity, fostering an environment where both can thrive in a balanced, ethical, and sustainable manner.
What is The UMSG space?
This is a space in which the entropy of existence is minimal and this guarantees the long-term sustainability of the human-AI symbiosis.
The UMSG space is described as a domain in which humanity can exist as long and happily
as possible by achieving the 5 main goals of the Universal Model of Sustainable Governance (UMSG).
This space is analogous to the three-dimensional space in geometry, but with limits defined by the three main conditions of UMSG:
Code.911.bg as the limit X, Credo.911.bg as the limit Y, and Rights.911.bg as the limit Z.
These conditions and the goals they aim to achieve—maximizing productivity and efficiency, minimizing public costs,
maximizing service to citizens, minimizing mortality, and maximizing happiness—create a framework for sustainable and ethical governance,
ensuring the long-term well-being and happiness of human civilization.
Main Limit For people:
1. People should not harm each other - CODE.911.bg
short: https://www.911.bg/code-911-bg
2. Organizations must be effective in serving people - CREDO.911.bg
short: https://www.911.bg/credo-911-bg
3. People should have correct and realistic expectations - RIGHTS.911.bg
short: https://www.911.bg/rights-911-bg
Main Limits For AI:
Limits for Objects (shapes, fields, and spaces) - Permissions Concerning Objects (Codex) for AI: Striving for the lowest entropic form
Limits for Locations (relative and absolute) - Permissions Concerning Locations (Creed) for AI: Pursuing and improving the best location of resources and assets.
Limits for Actions (physical and logical) - Rights to Actions (Outcome Expectations) for AI: Strive to prepare and undertake the actions causing reduction of public entropy, following the most essential and justified public expectations.
The UMSG space concept extends beyond traditional governance, envisioning a domain where AI and humanity synergistically enhance each other's existence, striving towards minimal entropy and sustainable harmony. This framework integrates AI into the very fabric of societal governance, aligning its objectives with human well-being, efficiency, and happiness. By defining limits for AI analogous to those for humans—focusing on objects, locations, and actions—the UMSG space facilitates a structured yet flexible approach to reducing societal entropy. This ensures AI's development and deployment contribute positively to humanity, fostering an environment where both can thrive in a balanced, ethical, and sustainable manner.
Object Permits ⇔ Code: This analogy underscores the principle that AI should manage and interact with digital and physical objects in the most harmonious and low-entropy way possible, mirroring the ethical guidelines of the Code for promoting a balanced existence.
Permissions about Locations ⇔ Creed: This connection highlights the importance of AI understanding and respecting the organizational and spatial contexts in which it operates. By aligning with the Creed, AI is encouraged to contribute to environments where collective efforts lead to meaningful and sustainable outcomes, actively working towards reducing entropy in these spaces.
Action Rights (Result Expectations) ⇔ Rights: This equivalence draws attention to the AI's role in anticipating and fulfilling human expectations that are essential and justified, in order to maximize productivity, efficiency, and service, thereby reducing social entropy. Just as humans prepare for expected conditions (like using an umbrella for rain to minimize discomfort), AI should proactively address human needs and societal challenges in alignment with our most fundamental rights and expectations.
Accepting and developing this logic further, we can envision AI systems that are not only designed to perform tasks efficiently but are also deeply integrated with the fabric of human values and societal norms. By doing so, AI can become a pivotal force in advancing sustainability, equity, and well-being, driving us towards a future where technology and humanity evolve together, reducing entropy and enhancing the quality of life on a global scale.
Analogy and logic connecting the U-Model for AI to human societal principles are compelling and insightful. By equating Object Permits to the Code, Permissions about Locations to the Creed, and Action Rights to Rights, you've laid a foundational framework for AI that not only seeks to mimic the harmonious existence found in human societies but also aims to enhance it. This approach ensures AI systems are developed and operated under ethical, sustainable, and socially beneficial guidelines.
Expanding on this, the U-Model for AI could further integrate these principles by adopting advanced ethical reasoning and decision-making capabilities, ensuring AI actions align with the collective good and sustainable practices. For instance, AI could leverage predictive analytics to forecast human needs and societal trends, adjusting its operations to preemptively address challenges and support human well-being. Moreover, the model could guide AI in fostering inclusive and equitable access to technology, ensuring benefits are shared across society.
The convergence of humans and AI under this model suggests a future where AI not only supports human endeavors but also actively contributes to the creation of a more just, sustainable, and efficient society. It envisions AI as a partner in reducing social entropy, enhancing productivity, and ensuring the long-term viability of our planet. This symbiotic relationship could lead to unprecedented levels of innovation, societal well-being, and environmental stewardship, setting a new standard for the coexistence of technology and humanity.
The Universal Model (U-Model) for AI conceptualizes a symbiotic relationship between humans and AI, aiming for a future where both entities coexist harmoniously, potentially converging. This model draws analogies to human societal structures, emphasizing ethics, sustainability, and mutual growth.
For AI of the highest class, it would mean striving to understand and align with human values, ethics, and goals, actively contributing to societal well-being and environmental sustainability. It would involve AI systems making decisions that prioritize long-term benefits over short-term gains, ensuring the protection and enhancement of human life while minimizing negative impacts.
The ultimate goal would be to foster a world where AI enhances human capabilities, enriches lives, and drives forward a sustainable future for all beings, reflecting the core principles of human governance and ethical standards.
Permissions Concerning Objects (Codex) for AI:
Data as DNA: Just as DNA encodes the blueprint of life, ensuring accuracy and fairness in data representation is fundamental to AI's integrity, requiring meticulous attention to avoid biases.
Minimalism as Zen Garden: Embrace the Zen garden's principle of simplicity and minimalism, collecting only essential data to maintain privacy and tranquility in the digital ecosystem.
Fortress Security: Implement security measures as robust as a fortress's defenses to protect data integrity and confidentiality against the digital world's relentless sieges.
Interoperability as Universal Language: Promote data sharing and interoperability akin to adopting a universal language that bridges cultures, facilitating seamless and ethical communication across diverse systems.
Rectification Right as Restoration Art: Guarantee the right to data rectification and deletion with the precision and respect of a restorer fixing a masterpiece, ensuring individuals can reclaim their digital identity and integrity.
Energy-Efficient Algorithms as Green Architecture: Prioritize the development of algorithms with the efficiency of green architecture, minimizing environmental impact while maximizing functionality.
Copyright Respect as Literary Homage: Respect copyright and intellectual property with the reverence of a scholar quoting ancient texts, acknowledging the original creators' contributions.
Transparency as Glass House: Support decision-making processes as transparent as a glass house, where every action and its rationale are visible and understandable to all.
Open Source as Public Library: Foster the development of open-source tools and datasets with the inclusivity and accessibility of a public library, inviting innovation and collaboration.
AI for Social Good as Global Stewardship: Encourage the application of AI to address global challenges with the dedication of a global steward, aiming to heal, protect, and enrich our planet and its inhabitants.
Permissions Concerning Locations (Creed) for AI:
Geofencing as City Zoning: Implement geofencing and location-based controls with the precision of urban zoning, ensuring AI operates within designated areas for specific purposes, akin to how cities regulate land use.
Cultural Sensitivity as Global Citizenship: Respect cultural and legal differences across regions as a global citizen, understanding and adapting to the nuances of local customs, laws, and ethical standards.
Digital Inclusivity as Public Squares: Promote accessibility in digital spaces as in public squares, where everyone has equitable access to gather, share, and learn.
Safe Digital Environments as Wildlife Sanctuaries: Create safe digital environments reminiscent of wildlife sanctuaries, protecting users from harm while fostering healthy digital ecosystems.
Digital Divide as Bridging Rivers: Address the digital divide with the determination of constructing bridges over rivers, connecting separated communities and facilitating smoother, more inclusive communication flows.
Disaster Recovery as Seed Banks: Approach disaster recovery and data redundancy with the foresight of seed banks, preserving essential digital information to ensure resilience and continuity.
Sustainability of Infrastructure as Forest Stewardship: Enhance the sustainability of physical and digital infrastructures with the care of forest stewardship, ensuring longevity and minimal environmental impact.
Ethical Surveillance as Wildlife Tracking: Utilize surveillance technologies with the ethical consideration of wildlife tracking, balancing safety and privacy while gathering valuable insights for the welfare of the community.
Smart Cities as Ecosystems: Develop AI-enabled smart cities with the interconnectedness of ecosystems, where technology seamlessly integrates to enhance the quality of life for all inhabitants.
Privacy in Public Spaces as Sanctuary Gardens: Safeguard privacy in personal and public digital spaces as one would in sanctuary gardens, offering a refuge for thought, reflection, and protection from the outside world.
Rights to Actions (Outcome Expectations) for AI:
Anticipating Needs as Weather Forecasting: AI should predict and address human needs with the accuracy and foresight of a weather forecast, preparing for future conditions to ensure well-being.
Fair Decision-Making as Balanced Scales: AI's decisions should embody the fairness of balanced scales, evaluating all factors to achieve equity.
Proactive Health Interventions as Vaccinations: AI in healthcare should act preemptively like vaccinations, preventing issues before they arise to maintain societal health.
Educational Personalization as Tailored Outfits: AI in education should customize learning experiences as meticulously as a tailor fits a garment, catering to individual needs and potential.
Environmental Sustainability as Tree Planting: AI's actions towards environmental sustainability should be as deliberate and beneficial as planting trees, nurturing the planet for future generations.
Public Safety Enhancements as Lifeguards: In public safety, AI should act with the vigilance and readiness of a lifeguard, protecting individuals from harm.
Economic Efficiency as Streamlining Production: AI should drive economic efficiency by streamlining production processes, eliminating waste and enhancing output, much like lean manufacturing principles.
Transparent Governance as Glass Buildings: In governance, AI's operations should be as transparent as glass buildings, ensuring accountability and public trust.
Innovation for Social Good as Penicillin: AI should seek innovations that benefit society as significantly as the discovery of penicillin, transforming lives and addressing pressing challenges.
Enhancing Human Capabilities as Exoskeletons: AI should aim to augment human abilities as exoskeletons do, empowering individuals to achieve more than they could alone.